# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
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# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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import gym
import numpy as np

ACTIONS = [
    "keep_lane",
    "slow_down",
    "change_lane_left",
    "change_lane_right",
]
N_ACTIONS = len(ACTIONS)

DEFAULT_ACTION_SPACE = gym.spaces.Discrete(N_ACTIONS)


def default_action_adapter(model_action):
    if type(model_action) in (int, np.int, np.int8, np.int16, np.int32, np.int64):
        action = model_action
    elif type(model_action) in (list, tuple, np.ndarray):
        action = model_action[0]
    else:
        action = int(model_action.numpy())
    return ACTIONS[action]
